Global trends and research frontiers on machine learning in sustainable animal production in times of climate change: Bibliometric analysis aimed at insights and orientations for t... by Robson Mateus Freitas Silveira, Concepta Mcmanus, Iran José Oliveira da Siva

“…Finally, improving livestock production sustainability is particularly important, because a significant part of the projected increases in the global food demand is expected to come from livestock, and artificial intelligence will certainly help producers in decision-making processes, mainly in times of climate change.…”
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PlaceField2BVec: A bionic geospatial location encoding method for hierarchical temporal memory model by Zugang Chen, Shaohua Wang, Kai Wu, Guoqing Li, Jing Li, Jian Wang

“…Encoding geospatial location is a fundamental problem for geospatial artificial intelligence (GeoAI) research. In recent years, some methods (such as Place2Vec, Space2Vec, and Sphere2Vec) were proposed to encode geospatial point as a high-dimensional vector. …”
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MFBTFF-Net: A Novel Multi-Frequency Brightness Temperature Feature Fusion Network for Global Lunar Surface Oxides Abundance Estimation With Chang'e-2 Lunar Microwave Sounder... by Yu Li, Zifeng Yuan, Sarah Mazhar, Zhiguo Meng, Yuanzhi Zhang, Jinsong Ping, Ferdinando Nunziata

“…In recent years, artificial intelligence technologies have been introduced to map oxides abundance on the lunar surface for their reliability and robustness. …”
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Mapping and Summarizing the Research on AI Systems for Automating Medical History Taking and Triage: Scoping Review by Elin Siira, Hanna Johansson, Jens Nygren

“… BackgroundThe integration of artificial intelligence (AI) systems for automating medical history taking and triage can significantly enhance patient flow in health care systems. …”
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Unlocking the Potential of Receptor-Based Approaches in Diabetes Treatment by Mohsina Patwekar, Faheem Patwekar, J. Pavan Kumar, P. Dharani Prasad, Nazia Malik, A. Venkata Badarinath, Prashanth Parupathi, Konatham Teja Kumar Reddy, Selvaraja Elumalai, Zainul Abedeen Ab Samad

“…Additionally, patient monitoring, adherence, and self-management will be greatly aided by the integration of digital health technology, telemedicine, and artificial intelligence (AI), thus leading to better treatment outcomes and patient quality of life. …”
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From Acceptance to Dependence: Exploring Influences of Smart Healthcare on Continuous Use Intention of Mobile Health Services Among Older Adults with Chronic Illnesses in China by Jiacheng Luo, Kewei Zhang, Qianghong Huang, Shan Jiang, Younghwan Pan

“…As information technology and artificial intelligence advance rapidly, smart health services have become readily accessible. …”
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MSCPNet: A Multi-Scale Convolutional Pooling Network for Maize Disease Classification by Mehdhar S. A. M. Al-Gaashani, Reem Alkanhel, Muthana Ali Salem Ali, Mohammed Saleh Ali Muthanna, Ahmed Aziz, Ammar Muthanna

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MXenes in biosensing: Enhancing sensitivity and flexibility – A review of properties, applications, and future directions by Ali Mohammad Amani, Lobat Tayebi, Ehsan Vafa, Alireza Jahanbin, Milad Abbasi, Ahmad Vaez, Hesam Kamyab, Lalitha Gnanasekaran, Shreeshivadasan Chelliapan

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Pathological and radiological assessment of benign breast lesions with BIRADS IVc/V subtypes. should we repeat the biopsy? by Wesam Rjoop, Anwar Rjoop, Alia Almohtaseb, Lama Bataineh, Zeina Nser Joubi, Maha Gharaibeh, Abdalrahman Al-Qwabah, Yousef Alasheh, Ismail Matalka

“…There is a need for continuous research to improve the diagnosis and treatment of breast lesions and reduce false-positive rates by incorporating other methodologies such as sonoelastography and incorporating deep learning and artificial intelligence in the decision-making to eliminate unnecessary procedures.…”
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From chaos to order: optimizing fecal microbiota transplantation for enhanced immune checkpoint inhibitors efficacy by Anqi Lin, Aimin Jiang, Lihaoyun Huang, Yu Li, Chunyanx Zhang, Lingxuan Zhu, Weiming Mou, Zaoqu Liu, Jian Zhang, Quan Cheng, Ting Wei, Peng Luo

“…We outline critical research directions, encompassing the need for large-scale, multi-center randomized controlled trials, in-depth microbial ecology studies, and the integration of multi-omics approaches with artificial intelligence. Regulatory and ethical challenges are critically addressed, underscoring the imperative for standardized protocols and rigorous long-term safety assessments. …”
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Modelling of structural, mechanical, electronic, and optical properties of Rb2TlXF6 (X = Ir, Rh) double perovskite compounds through density functional theory by Wasi Ullah, Nasir Rahman, Mudasser Husain, Wafa Mohammed Almalki, Khamael M. Abualnaja, Ghaida Alosaimi, Soufyane Belhachi, Bashar.M. Al-Khamiseh, Vineet Tirth, Ahmed Azzouz-Rached, Hanan A. Althobaiti, Farooq Ali

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Deep-Learning-Based Land Cover Mapping in Franciacorta Wine Growing Area by Girma Tariku, Isabella Ghiglieno, Andres Sanchez Morchio, Luca Facciano, Celine Birolleau, Anna Simonetto, Ivan Serina, Gianni Gilioli

“…The introduction of remote sensing technologies and artificial intelligence models made it possible to base land cover mapping on satellite imagery in order to monitor changes, assess ecosystem health, support conservation efforts, and reduce monitoring time. …”
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Effects of feature selection and normalization on network intrusion detection by Mubarak Albarka Umar, Zhanfang Chen, Khaled Shuaib, Yan Liu

“…The rapid rise of cyberattacks and the gradual failure of traditional defense systems and approaches led to using artificial intelligence (AI) techniques (such as machine learning (ML) and deep learning (DL)) to build more efficient and reliable intrusion detection systems (IDSs). …”
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Connotation, research status, and development directions of clean coal geology in China by Yuegang TANG, Shaoqing WANG, Xiaoshuai WANG, Xin GUO, Yafeng WANG, Liping XUE, Harold H. Schobert

“…[Issues and Prospects] This study proposes some scientific and technical problems concerning coal formation, organic/inorganic elements, minerals, and clean assessment, positing that future advancements in chemistry, physics, biology, and big data/artificial intelligence (AI) will bring opportunities for the further development of clean coal geology and its applications in large-scale engineering. …”
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Brain compensatory activation during Stroop task in patients with mild cognitive impairment: a functional near-infrared spectroscopy study by Chenyu Fan, Hanfei Li, Hanfei Li, Ke Chen, Ke Chen, Guohui Yang, Hongyu Xie, Haozheng Li, Yi Wu, Meng Li, Meng Li, Meng Li

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Cortical lesions impact cognitive decline in multiple sclerosis via volume loss of nonlesional cortex by Eva A. Krijnen, Maureen vanDam, Albulena Bajrami, Piet M. Bouman, Samantha Noteboom, Frederik Barkhof, Bernard M.J. Uitdehaag, Martijn D. Steenwijk, Eric C. Klawiter, Ismail Koubiyr, Menno M. Schoonheim

“…Regions were defined as either lesional or normal‐appearing cortex based on presence of a cortical lesion on artificial intelligence‐generated double inversion‐recovery scans. …”
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Unraveling complexity and leveraging opportunities in uncommon breast cancer subtypes by Fresia Pareja, Rohit Bhargava, Virginia F. Borges, Edi Brogi, Rita Canas Marques, Fatima Cardoso, Christine Desmedt, Malini Harigopal, Sunil R. Lakhani, Adrian Lee, Jose Pablo Leone, Hannah Linden, Christopher J. Lord, Caterina Marchio, Sofia D. Merajver, Emad Rakha, Jorge S. Reis-Filho, Andrea Richardson, Elinor Sawyer, Pepper Schedin, Christopher J. Schwartz, Andrew Tutt, Naoto T. Ueno, Anne Vincent-Salomon, Britta Weigelt, Y. Hannah Wen, Stuart J. Schnitt, Steffi Oesterreich

“…Novel methodologies, such as artificial intelligence may improve classification. Genetic predisposition plays roles in a subset of cases. …”
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Providing a General Model for the Successful Implementation of Digital Transformation in Organizations by Haidar Ahmadi, Najme Parsaei, Seyyed Hamed Hashemi, Hamidreza Nematollahi

“…Conclusion Digital transformation extends beyond the mere adoption of emerging technologies such as artificial intelligence and machine learning; it represents a paradigm shift in how traditional management and operational practices are conducted across various functions, including product development, engineering, marketing, sales, and service delivery. …”
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Development and validation of a prognostic prediction model for elderly gastric cancer patients based on oxidative stress biochemical markers by Xing-Qi Zhang, Ze-Ning Huang, Ju Wu, Chang-Yue Zheng, Xiao-Dong Liu, Ying-Qi Huang, Qi-Yue Chen, Ping Li, Jian-Wei Xie, Chao-Hui Zheng, Jian-Xian Lin, Yan-Bing Zhou, Chang-Ming Huang

“…Abstract Background The potential of the application of artificial intelligence and biochemical markers of oxidative stress to predict the prognosis of older patients with gastric cancer (GC) remains unclear. …”
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Equalizer Design: HBOA-DE-trained radial basis function neural networks by Santosh Kumar Das, Satya Ranjan Pattanaik, Pradyumna Kumar Mohapatra, Saroja Kumar Rout, Abdulaziz S. Almazyad, Muhammed Basheer Jasser, Guojiang Xiong, Ali Wagdy Mohamed

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